Articles | Volume 12, issue 3
https://doi.org/10.5194/gmd-12-1189-2019
https://doi.org/10.5194/gmd-12-1189-2019
Model description paper
 | 
28 Mar 2019
Model description paper |  | 28 Mar 2019

Discrete k-nearest neighbor resampling for simulating multisite precipitation occurrence and model adaption to climate change

Taesam Lee and Vijay P. Singh

Viewed

Total article views: 2,505 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,608 815 82 2,505 393 111 141
  • HTML: 1,608
  • PDF: 815
  • XML: 82
  • Total: 2,505
  • Supplement: 393
  • BibTeX: 111
  • EndNote: 141
Views and downloads (calculated since 12 Oct 2018)
Cumulative views and downloads (calculated since 12 Oct 2018)

Viewed (geographical distribution)

Total article views: 2,505 (including HTML, PDF, and XML) Thereof 2,326 with geography defined and 179 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 15 Oct 2025
Download
Short summary
A simple novel technique for simulating multisite occurrence of precipitation is proposed. The proposed technique employs the nonparametric approaches k-nearest neighbor and genetic algorithms. We tested this technique in various ways and proved that this simple technique can be useful and comparable to the existing one.
Share